Approaches to wind power curve modeling: A review and discussion

Y Wang, Q Hu, L Li, AM Foley, D Srinivasan - Renewable and Sustainable …, 2019 - Elsevier
Wind power curves play important roles in wind power forecasting, wind turbine condition
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …

A comprehensive review on wind turbine power curve modeling techniques

M Lydia, SS Kumar, AI Selvakumar… - … and Sustainable Energy …, 2014 - Elsevier
The wind turbine power curve shows the relationship between the wind turbine power and
hub height wind speed. It essentially captures the wind turbine performance. Hence it plays …

A critical review on wind turbine power curve modelling techniques and their applications in wind based energy systems

V Sohoni, SC Gupta, RK Nema - Journal of Energy, 2016 - Wiley Online Library
Power curve of a wind turbine depicts the relationship between output power and hub height
wind speed and is an important characteristic of the turbine. Power curve aids in energy …

[HTML][HTML] Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation

KN Hasan, R Preece, JV Milanović - Renewable and Sustainable Energy …, 2019 - Elsevier
The analysis of power systems with a significant share of renewable generation using
probabilistic tools is essential to appropriately consider the impact that the variability and …

Probabilistic load flow method based on Nataf transformation and Latin hypercube sampling

Y Chen, J Wen, S Cheng - IEEE Transactions on Sustainable …, 2012 - ieeexplore.ieee.org
This paper proposed a probabilistic load flow method that can address the correlated power
sources and loads. The proposed probabilistic load flow method is based on the Nataf …

Applications and modeling techniques of wind turbine power curve for wind farms—A review

F Bilendo, A Meyer, H Badihi, N Lu, P Cambron… - Energies, 2022 - mdpi.com
In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …

Modeling conditional forecast error for wind power in generation scheduling

N Zhang, C Kang, Q **a, J Liang - IEEE Transactions on Power …, 2013 - ieeexplore.ieee.org
The integration of wind power requires additional operating reserves to cope with the
uncertainty in power system operation. Previous research shows that the uncertainty of the …

Using data-mining approaches for wind turbine power curve monitoring: A comparative study

M Schlechtingen, IF Santos… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Four data-mining approaches for wind turbine power curve monitoring are compared. Power
curve monitoring can be applied to evaluate the turbine power output and detect deviations …

[BUKU][B] Data science for wind energy

Y Ding - 2019 - taylorfrancis.com
Data Science for Wind Energy provides an in-depth discussion on how data science
methods can improve decision making for wind energy applications, near-ground wind field …

Wind turbine condition assessment through power curve copula modeling

S Gill, B Stephen, S Galloway - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Power curves constructed from wind speed and active power output measurements provide
an established method of analyzing wind turbine performance. In this paper, it is proposed …